[gdal-dev] Total Viewshed and GDAL

[Luis F. Romero]

Hello Tamas,

Nice to meet you, and congratulations on your tool. It has been very 
motivating for our work.

We have a private repository on Github, and I'll immediately invite you 
to give access. We do not want to make it public yet, because we are 
waiting for a publication, although we hope it will be soon.

El 18-4-23 a las 09:30, Tamas Szekeres escribió:
> Luis,
>
> I'm interested in testing such algorithm, is that code publicly available?
>
> Best regards,
>
> Tamas
>
>
> Luis Felipe Romero <felipe at uma.es> ezt írta (időpont: 2023. ápr. 18., 
> K, 7:15):
>
>     Dear gdal-dev group members,
>
>     I hope this email finds you well. I am Luis Felipe Romero, a
>     researcher from the University of Malaga in Spain, and I am
>     excited to introduce myself to this community. My research focuses
>     on algorithms for digital elevation models (DEM), and in
>     particular, the development of algorithms for the calculation of
>     the total viewshed.
>
>     Recently, my team has developed a highly efficient algorithm that
>     can calculate the total viewshed for a model of 2500x2500 points
>     in just 4 seconds on a GPU or approximately 2 minutes on a 16-core
>     CPU. Our algorithm is written in C++, and we also have a version
>     that utilizes CUDA for GPU acceleration.
>
>     I had a conversation with Even Roualt about the possibility of
>     integrating our algorithm into GDAL. However, he informed me of
>     the incompatibilities between GDAL and CUDA, but encouraged me to
>     share my intentions with the group. Therefore, I would like to
>     share our Total Viewshed approach with the gdal-dev community.
>
>     Unlike Tamas Szekeres' Viewshed algorithm, our approach calculates
>     the viewshed at all model points simultaneously by leveraging
>     in-memory data alignment. While it may not be as efficient for
>     calculating the viewshed of a small set of points, it is
>     incredibly useful for determining the viewshed of an entire
>     territory, such as for selecting the location of a cell phone
>     tower or for forest surveillance path planning. Our algorithm can
>     complete these types of calculations in a matter of minutes, as
>     opposed to thousands of hours.
>
>     My primary goal in reaching out to this group is to gain feedback
>     and insights on how GDAL can be used to make our algorithms
>     publicly accessible and even improved upon by the community. I
>     believe that GDAL provides the necessary tools and interfaces to
>     make this possible.
>
>     I am currently in the process of familiarizing myself with the
>     GDAL code structure, and it will take a few days before I can
>     determine my first steps with it. Nevertheless, I am excited to
>     contribute to this community and give visibility to our work.
>
>     Thank you all in advance for your time and consideration.
>
>     Best regards,
>
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>
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